The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...

Channels, >2,800 Programmable Operations—Scalable to >50,000 Operations on Each Dataset Arriving Every 25 ns with Zero Data Loss at a fraction of the cost of FPGA <100 operations per datasetDALLAS, ...

This detailed overview explains the technical mechanisms of LC-MS proteomics, including peptide separation, ion generation, ...

The Portland City Council on Wednesday passed a measure that bans corporate landlords from using rent-fixing price algorithms in the city. The ordinance, which was pushed by Councilor Angelita Morillo ...

Yes, experts expect AI’s energy use to skyrocket. Some predictions say that by 2028, AI could use as much electricity as 22% ...

TPUv7 offers a viable alternative to the GPU-centric AI stack has already arrived — one with real implications for the economics and architecture of frontier-scale training.

Abstract: General sparse matrix-matrix multiplication (SpGEMM) is a fundamental computational method with wide-ranging applications in scientific simulations, machine learning, and image processing.

Abstract: In this paper, we propose three modular multiplication algorithms that use only the IEEE 754 binary floating-point operations. Several previous studies have used floating-point operations to ...

WASHINGTON, D.C. – U.S. Sen. John Curtis (R-UT) has introduced bipartisan legislation to modernize protections and hold social media companies accountable for harms caused by content pushed by their ...